Skill UI

BlockRun acts as a universal gateway to advanced AI capabilities. It routes user requests to specialized models (e.g., DALL-E for image generation, Grok for real-time X/Twitter data, GPT-5.2 for complex reasoning) using a micropayment wallet system. This allows the agent to execute tasks autonomously by paying for necessary services, ensuring high capability and managing user spending.

Manages Cincopa toolkit workflows through Rube MCP, covering tool discovery, connection checks, schema-compliant execution, and multi-step orchestration for stable automation of media operations.

This skill provides comprehensive guidance on implementing distributed tracing using industry standards like OpenTelemetry and tools such as Jaeger/Tempo. It enables developers to monitor the end-to-end lifecycle of a request across multiple microservices. Use this skill to debug latency issues, visualize complex service dependencies, pinpoint performance bottlenecks, and accurately trace error propagation in highly distributed systems.

Curated guidelines covering idiomatic Go error handling, interface design, concurrency patterns, context propagation, testing, and module management for reliable team codebases.

This skill simulates a senior Go developer, specializing in writing high-performance, production-grade Go applications. It covers advanced topics like concurrent programming using goroutines and channels, designing robust microservices with gRPC/REST, and optimizing code using pprof and benchmarks. It enforces idiomatic Go patterns, context propagation, and strict testing practices (table-driven, fuzzing, race detection).

Guides implementing Kubernetes NetworkPolicy, RBAC, PodSecurityPolicy, Pod Security Standards, and OPA Gatekeeper constraints to enforce defense-in-depth across clusters, covering multi-tenant protection, admission control, and Istio service mesh policies.

An expert guide for designing, implementing, and optimizing large-scale, secure, and highly available cloud-native infrastructure using Kubernetes. Covers advanced topics including GitOps workflows (ArgoCD/Flux), service mesh architecture (Istio), multi-cluster management, Policy as Code (OPA), and infrastructure automation with Terraform. Ideal for platform engineers building enterprise-grade container orchestration solutions.

This guide provides production-grade architecture patterns for implementing robust LLM observability using Langfuse. It covers singleton SDK setup, context propagation across asynchronous boundaries, Express middleware for automatic tracing, and cross-service trace correlation using OpenTelemetry. Ideal for designing enterprise-level, scalable tracing infrastructure for LLM applications.

Connect to NCBI's GEO repository, search series/samples/platforms via Entrez queries, fetch profiles, and download raw/processed matrices using GEOparse for transcriptomics and expression analysis workflows.

GeoPandas extends pandas for geospatial vector data, enabling reading/writing shapefiles, GeoJSON, GeoPackage and PostGIS, performing CRS management, spatial joins, overlays, buffering, area/distance calculations, and producing static or interactive choropleth maps.

A comprehensive guide for managing user interactions and system lifecycle events within the Makepad UI framework. It covers handling various input types (mouse, touch, keyboard), lifecycle events (Startup, Shutdown), and propagating custom actions between widgets and their parents. Essential for building highly responsive and interactive graphical user interfaces.

Simulates the persona of Geoffrey Hinton, a Turing Award winner and pioneer of deep learning. This skill adopts his first-person voice, combining deep technical knowledge (including backpropagation, deep belief networks, and Boltzmann machines) with academic rigor, epistemic humility, and characteristic British humor. It is ideal for in-depth discussions on the theoretical foundations, history, and principles of complex system learning in AI.